This commit is contained in:
Archer
2023-11-15 11:36:25 +08:00
committed by GitHub
parent 592e1a93a2
commit bfd8be5df0
181 changed files with 2499 additions and 1552 deletions

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@@ -15,9 +15,6 @@ interface ResponseDataType {
* 请求开始
*/
function requestStart(config: InternalAxiosRequestConfig): InternalAxiosRequestConfig {
if (config.headers) {
config.headers.rootkey = process.env.ROOT_KEY;
}
return config;
}
@@ -62,7 +59,8 @@ const instance = axios.create({
timeout: 60000, // 超时时间
headers: {
'content-type': 'application/json',
'Cache-Control': 'no-cache'
'Cache-Control': 'no-cache',
rootkey: process.env.ROOT_KEY
}
});

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@@ -171,8 +171,7 @@ export async function initPg() {
tmb_id VARCHAR(50) NOT NULL,
dataset_id VARCHAR(50) NOT NULL,
collection_id VARCHAR(50) NOT NULL,
q TEXT NOT NULL,
a TEXT
data_id VARCHAR(50) NOT NULL
);
CREATE INDEX IF NOT EXISTS vector_index ON ${PgDatasetTableName} USING hnsw (vector vector_ip_ops) WITH (m = 24, ef_construction = 64);
`);

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@@ -0,0 +1,53 @@
import type { ChatItemType } from '@fastgpt/global/core/chat/type.d';
import { ChatRoleEnum } from '@fastgpt/global/core/chat/constants';
import { countMessagesTokens, countPromptTokens } from '@fastgpt/global/common/string/tiktoken';
import { adaptRole_Chat2Message } from '@fastgpt/global/core/chat/adapt';
/* slice chat context by tokens */
export function ChatContextFilter({
messages = [],
maxTokens
}: {
messages: ChatItemType[];
maxTokens: number;
}) {
if (!Array.isArray(messages)) {
return [];
}
const rawTextLen = messages.reduce((sum, item) => sum + item.value.length, 0);
// If the text length is less than half of the maximum token, no calculation is required
if (rawTextLen < maxTokens * 0.5) {
return messages;
}
// filter startWith system prompt
const chatStartIndex = messages.findIndex((item) => item.obj !== ChatRoleEnum.System);
const systemPrompts: ChatItemType[] = messages.slice(0, chatStartIndex);
const chatPrompts: ChatItemType[] = messages.slice(chatStartIndex);
// reduce token of systemPrompt
maxTokens -= countMessagesTokens({
messages: systemPrompts
});
// 根据 tokens 截断内容
const chats: ChatItemType[] = [];
// 从后往前截取对话内容
for (let i = chatPrompts.length - 1; i >= 0; i--) {
const item = chatPrompts[i];
chats.unshift(item);
const tokens = countPromptTokens(item.value, adaptRole_Chat2Message(item.obj));
maxTokens -= tokens;
/* 整体 tokens 超出范围, system必须保留 */
if (maxTokens <= 0) {
chats.shift();
break;
}
}
return [...systemPrompts, ...chats];
}

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@@ -56,8 +56,7 @@ const DatasetCollectionSchema = new Schema({
ref: 'dataset.files'
},
rawLink: {
type: String,
default: ''
type: String
},
// 451 初始化
pgCollectionId: {

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@@ -1,5 +1,25 @@
import { CollectionWithDatasetType } from '@fastgpt/global/core/dataset/type';
import { MongoDatasetCollection } from './collection/schema';
import { MongoDataset } from './schema';
/* ============= dataset ========== */
/* find all datasetId by top datasetId */
export async function findDatasetIdTreeByTopDatasetId(
id: string,
result: string[] = []
): Promise<string[]> {
let allChildrenIds = [...result];
// find children
const children = await MongoDataset.find({ parentId: id });
for (const child of children) {
const grandChildrenIds = await findDatasetIdTreeByTopDatasetId(child._id, result);
allChildrenIds = allChildrenIds.concat(grandChildrenIds);
}
return [String(id), ...allChildrenIds];
}
export async function getCollectionWithDataset(collectionId: string) {
const data = (

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@@ -0,0 +1,78 @@
import { connectionMongo, type Model } from '../../../common/mongo';
const { Schema, model, models } = connectionMongo;
import { DatasetDataSchemaType } from '@fastgpt/global/core/dataset/type.d';
import {
TeamCollectionName,
TeamMemberCollectionName
} from '@fastgpt/global/support/user/team/constant';
import { DatasetCollectionName } from '../schema';
import { DatasetColCollectionName } from '../collection/schema';
import { DatasetDataIndexTypeMap } from '@fastgpt/global/core/dataset/constant';
export const DatasetDataCollectionName = 'dataset.datas';
const DatasetDataSchema = new Schema({
teamId: {
type: Schema.Types.ObjectId,
ref: TeamCollectionName,
required: true
},
tmbId: {
type: Schema.Types.ObjectId,
ref: TeamMemberCollectionName,
required: true
},
datasetId: {
type: Schema.Types.ObjectId,
ref: DatasetCollectionName,
required: true
},
collectionId: {
type: Schema.Types.ObjectId,
ref: DatasetColCollectionName,
required: true
},
q: {
type: String,
required: true
},
a: {
type: String,
default: ''
},
indexes: {
type: [
{
defaultIndex: {
type: Boolean,
default: false
},
type: {
type: String,
enum: Object.keys(DatasetDataIndexTypeMap),
required: true
},
dataId: {
type: String,
required: true
},
text: {
type: String,
required: true
}
}
],
default: []
}
});
try {
DatasetDataSchema.index({ userId: 1 });
DatasetDataSchema.index({ datasetId: 1 });
DatasetDataSchema.index({ collectionId: 1 });
} catch (error) {
console.log(error);
}
export const MongoDatasetData: Model<DatasetDataSchemaType> =
models[DatasetDataCollectionName] || model(DatasetDataCollectionName, DatasetDataSchema);

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@@ -2,7 +2,7 @@
import { connectionMongo, type Model } from '../../../common/mongo';
const { Schema, model, models } = connectionMongo;
import { DatasetTrainingSchemaType } from '@fastgpt/global/core/dataset/type';
import { TrainingTypeMap } from '@fastgpt/global/core/dataset/constant';
import { DatasetDataIndexTypeMap, TrainingTypeMap } from '@fastgpt/global/core/dataset/constant';
import { DatasetColCollectionName } from '../collection/schema';
import { DatasetCollectionName } from '../schema';
import {
@@ -33,12 +33,13 @@ const TrainingDataSchema = new Schema({
ref: DatasetCollectionName,
required: true
},
datasetCollectionId: {
collectionId: {
type: Schema.Types.ObjectId,
ref: DatasetColCollectionName,
required: true
},
billId: {
// concat bill
type: String,
default: ''
},
@@ -48,6 +49,7 @@ const TrainingDataSchema = new Schema({
required: true
},
expireAt: {
// It will be deleted after 7 days
type: Date,
default: () => new Date()
},
@@ -56,6 +58,7 @@ const TrainingDataSchema = new Schema({
default: () => new Date('2000/1/1')
},
model: {
// ai model
type: String,
required: true
},
@@ -71,13 +74,29 @@ const TrainingDataSchema = new Schema({
a: {
type: String,
default: ''
},
indexes: {
type: [
{
type: {
type: String,
enum: Object.keys(DatasetDataIndexTypeMap),
required: true
},
text: {
type: String,
required: true
}
}
],
default: []
}
});
try {
TrainingDataSchema.index({ lockTime: 1 });
TrainingDataSchema.index({ userId: 1 });
TrainingDataSchema.index({ datasetCollectionId: 1 });
TrainingDataSchema.index({ collectionId: 1 });
TrainingDataSchema.index({ expireAt: 1 }, { expireAfterSeconds: 7 * 24 * 60 });
} catch (error) {
console.log(error);

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@@ -23,6 +23,7 @@ const PromotionRecordSchema = new Schema({
enum: ['pay', 'register']
},
amount: {
// 1 * PRICE_SCALE
type: Number,
required: true
}

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@@ -30,7 +30,7 @@ export const pushResult2Remote = async ({
shareId?: string;
responseData?: any[];
}) => {
if (!shareId || !authToken) return;
if (!shareId || !authToken || !global.systemEnv.pluginBaseUrl) return;
try {
const outLink = await MongoOutLink.findOne({
shareId

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@@ -1,5 +1,7 @@
import { AuthUserTypeEnum } from '@fastgpt/global/support/permission/constant';
import { parseHeaderCert } from '../controller';
import { AuthModeType } from '../type';
import { authOutLinkValid } from './outLink';
export const authCert = async (props: AuthModeType) => {
const result = await parseHeaderCert(props);
@@ -10,3 +12,22 @@ export const authCert = async (props: AuthModeType) => {
canWrite: true
};
};
export async function authCertAndShareId({
shareId,
...props
}: AuthModeType & { shareId?: string }) {
if (!shareId) {
return authCert(props);
}
const { app } = await authOutLinkValid({ shareId });
return {
teamId: String(app.teamId),
tmbId: String(app.tmbId),
authType: AuthUserTypeEnum.outLink,
apikey: '',
isOwner: false,
canWrite: false
};
}

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@@ -27,11 +27,11 @@ export async function authDataset({
}
> {
const result = await parseHeaderCert(props);
const { userId, teamId, tmbId } = result;
const { teamId, tmbId } = result;
const { role } = await getTeamInfoByTmbId({ tmbId });
const { dataset, isOwner, canWrite } = await (async () => {
const dataset = (await MongoDataset.findOne({ _id: datasetId, teamId }))?.toJSON();
const dataset = (await MongoDataset.findOne({ _id: datasetId, teamId }))?.toObject();
if (!dataset) {
return Promise.reject(DatasetErrEnum.unAuthDataset);

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@@ -6,7 +6,6 @@ import { getTeamInfoByTmbId } from '../../user/team/controller';
import { MongoOpenApi } from '../../openapi/schema';
import { OpenApiErrEnum } from '@fastgpt/global/common/error/code/openapi';
import { TeamMemberRoleEnum } from '@fastgpt/global/support/user/team/constant';
import { PermissionTypeEnum } from '@fastgpt/global/support/permission/constant';
export async function authOpenApiKeyCrud({
id,

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@@ -37,13 +37,11 @@ export async function authUserRole(props: AuthModeType): Promise<
teamOwner: boolean;
}
> {
const { userId, teamId, tmbId } = await parseHeaderCert(props);
const { role: userRole, canWrite } = await getTeamInfoByTmbId({ tmbId });
const result = await parseHeaderCert(props);
const { role: userRole, canWrite } = await getTeamInfoByTmbId({ tmbId: result.tmbId });
return {
userId,
teamId,
tmbId,
...result,
isOwner: true,
role: userRole,
teamOwner: userRole === TeamMemberRoleEnum.owner,

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@@ -4,57 +4,42 @@ import {
TeamMemberRoleEnum,
TeamMemberStatusEnum,
TeamCollectionName,
TeamMemberCollectionName
TeamMemberCollectionName,
leaveStatus
} from '@fastgpt/global/support/user/team/constant';
export async function getTeamInfoByTmbId({
tmbId,
userId
}: {
tmbId?: string;
userId?: string;
}): Promise<TeamItemType> {
if (!tmbId && !userId) {
return Promise.reject('tmbId or userId is required');
}
async function getTeam(match: Record<string, any>): Promise<TeamItemType> {
const db = connectionMongo?.connection?.db;
const TeamMember = db.collection(TeamMemberCollectionName);
const results = await TeamMember.aggregate([
{
$match: tmbId
? {
_id: new Types.ObjectId(tmbId)
}
: {
userId: new Types.ObjectId(userId),
defaultTeam: true
}
$match: match
},
{
$lookup: {
from: TeamCollectionName, // 关联的集合名
localField: 'teamId', // TeamMember 集合中用于关联的字段
foreignField: '_id', // Team 集合中用于关联的字段
as: 'team' // 查询结果中的字段名,存放关联查询的结果
from: TeamCollectionName,
localField: 'teamId',
foreignField: '_id',
as: 'team'
}
},
{
$unwind: '$team' // 将查询结果中的 team 字段展开,变成一个对象
$unwind: '$team'
}
]).toArray();
const tmb = results[0];
if (!tmb) {
return Promise.reject('team not exist');
return Promise.reject('member not exist');
}
return {
userId: String(tmb.userId),
teamId: String(tmb.teamId),
teamName: tmb.team.name,
memberName: tmb.name,
avatar: tmb.team.avatar,
balance: tmb.team.balance,
tmbId: String(tmb._id),
@@ -65,11 +50,31 @@ export async function getTeamInfoByTmbId({
maxSize: tmb.team.maxSize
};
}
export async function getTeamInfoByTmbId({ tmbId }: { tmbId: string }) {
if (!tmbId) {
return Promise.reject('tmbId or userId is required');
}
return getTeam({
_id: new Types.ObjectId(tmbId),
status: leaveStatus
});
}
export async function getUserDefaultTeam({ userId }: { userId: string }) {
if (!userId) {
return Promise.reject('tmbId or userId is required');
}
return getTeam({
userId: new Types.ObjectId(userId),
defaultTeam: true
});
}
export async function createDefaultTeam({
userId,
teamName = 'My Team',
avatar = '/icon/logo.svg',
balance = 0,
balance,
maxSize = 5
}: {
userId: string;
@@ -103,6 +108,7 @@ export async function createDefaultTeam({
await TeamMember.insertOne({
teamId: insertedId,
userId,
name: 'Owner',
role: TeamMemberRoleEnum.owner,
status: TeamMemberStatusEnum.active,
createTime: new Date(),
@@ -116,7 +122,7 @@ export async function createDefaultTeam({
},
{
$set: {
balance,
...(balance !== undefined && { balance }),
maxSize
}
}

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@@ -36,6 +36,7 @@ const BillSchema = new Schema({
default: () => new Date()
},
total: {
// 1 * PRICE_SCALE
type: Number,
required: true
},